Robotics & Machine Learning Daily News2024,Issue(Jul.11) :34-34.

Reports Summarize Robotics Study Results from Shanghai University of Engineering Science (Research On Robot Path Planning By Integrating State-based Decision-ma king A* Algorithm and Inertial Dynamic Window Approach)

Robotics & Machine Learning Daily News2024,Issue(Jul.11) :34-34.

Reports Summarize Robotics Study Results from Shanghai University of Engineering Science (Research On Robot Path Planning By Integrating State-based Decision-ma king A* Algorithm and Inertial Dynamic Window Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. Acc ording to news reporting originating in Shanghai,People’s Republic of China, by NewsRx journalists, research stated, “In response to challenges faced bymobile robots in global path planning within high-resolution grid maps-such as excessi ve waypoints, lowefficiency, inability to evade random obstacles, and poor mane uverability in narrow passage environmentsduring local path planning-a robot pa th planning algorithm is proposed. This algorithm integrates statebaseddecisio n-making A* algorithm with inertial dynamic window approach.”

Key words

Shanghai/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robo tics/Shanghai University of Engineering Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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